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Bayesian Networks and Decision Graphs - eBook

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Novelty, Information and Surprise - Book

Novelty, Information and Surprise

Gunther Palm

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Pattern Recognition and Machine Learning - Book

Pattern Recognition and Machine Learning

Christopher M. Bishop

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Pattern Recognition and Machine Learning - Book

Pattern Recognition and Machine Learning

Christopher M. Bishop

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Nonlinear Dimensionality Reduction - Book

Nonlinear Dimensionality Reduction

John A. Lee

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Feedforward Neural Network Methodology - eBook

Feedforward Neural Network Methodology

Terrence L. Fine

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Statistical and Inductive Inference by Minimum Message Length - eBook

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Estimation of Dependences Based on Empirical Data - eBook

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Nonlinear Dimensionality Reduction - eBook

Nonlinear Dimensionality Reduction

John A. Lee

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Information and Complexity in Statistical Modeling - eBook

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Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis - eBook

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Support Vector Machines - eBook

Support Vector Machines

Ingo Steinwart

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Probabilistic Conditional Independence Structures - eBook

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Cumulative Sum Charts and Charting for Quality Improvement - eBook

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The Practice of Time Series Analysis - eBook

The Practice of Time Series Analysis

Hirotugu Akaike

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The Practice of Time Series Analysis - Book

The Practice of Time Series Analysis

Hirotugu Akaike

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Bayesian Networks and Influence Diagrams: A Guide to Construction and Analysis - eBook

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Information Theoretic Learning : Renyi's Entropy and Kernel Perspectives - eBook

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Nonlinear Dimensionality Reduction - Book

Nonlinear Dimensionality Reduction

John A. Lee

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The Nature of Statistical Learning Theory - Book

The Nature of Statistical Learning Theory

Vladimir Vapnik

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Statistical Image Processing and Multidimensional Modeling - eBook

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The Nature of Statistical Learning Theory - eBook

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